- Title: Predicting congestion on London’s roads with TensorFlow
- Speaker: Robert Lacok - Data Scientist, Datatonic
Predicting congestion on London’s roads with TensorFlow
Predicting congestion is an important part of any traffic management system. With accurate forecasting traffic can be effectively regulated, ensuring safe and fast journeys on the roads. Based on data from Transport for London (TfL) we trained a neural network in TensorFlow that predicts congestion in south-west London. With this use case as example we will demonstrate how TensorFlow can be used to build predictive models for time series data.
Traffic Jam Prediction
The percentage turns into red if a traffic jam is in progress. It turns back into blue once the road starts clearing.